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AI appsChatGPT and Claude integrations

ChatGPT or Claude in Business Systems: What to Buy

A business subscription, a focused API connection and a custom AI app solve different problems. Compare data, ownership, scope and cost before integrating.

Connecting a model to a business system can mean a subscription for people, one focused process connection or a custom application. Choose by who performs the work, where data flows and what must happen in your systems.

Author

Syntalith

Published Updated 8 min read

There are three common ways to use ChatGPT or Claude at work. A business subscription gives people a model in a managed interface. A focused API connection makes one process move between the model and a company system. A custom AI app combines interfaces, data and several systems around a defined job. The choice depends on who performs the work and what the process must leave behind.

Name the purchase first

PathWhat the company buysGood fit
Business subscriptionSeats, workspace controls and a model for peopleDrafting, summaries and analysis led by employees
Focused API connectionOne process connected to one or two systemsRepeatable classification, extraction or drafting
Custom AI appAn interface, integrations, document search and process controlsWork spanning several systems or requiring company-specific rules

Syntalith AI automations start from €3,500 net. Custom AI apps start from €6,000 net, with typical scope depending on systems, data and permissions. The implementation specification currently starts from €1,200 net and can be credited toward a build we deliver. Check the pricing page before budgeting.

When a business subscription is enough

A subscription fits when people remain responsible for the work. They can draft a customer message, summarise a document, prepare a meeting brief or compare options inside the approved workspace. The business plan, retention settings, administrator controls and provider terms determine whether company data may enter the service.

Choose this path when:

  • the result stays with a person for checking and copying;
  • no record needs to be written automatically into an ERP or CRM;
  • the process is still being explored;
  • the provider's data terms fit the selected information.

Measure adoption and correction time for a few real tasks. Integration becomes a candidate when people repeatedly copy the same answer from the model into another system.

For current provider terms, see OpenAI business data controls and Anthropic commercial data practices.

When a focused connection is enough

A focused API connection suits a stable process with a clear owner. For example, a shared inbox can pass a message to a model for classification and draft a reply in a helpdesk. Code controls fields, permissions, status changes and the approval queue.

Write down the input, expected result, exceptions and destination before building. Keep the model's role narrow and use a fixed output shape. If the process crosses several systems or relies on company documents with different permissions, the focused connection may become an application project.

When a custom AI app earns its scope

An app becomes reasonable when the work needs a dedicated interface or several connected systems. Typical signals include:

  • staff must see records from ERP, CRM and documents in one work view;
  • company-specific roles or approval rules shape the result;
  • standard tools force recurring manual copying;
  • the process needs a document search layer with source and access checks;
  • data handling, retention or deployment needs require a controlled architecture.

Keep the first scope to one named process. An app should state which data it can read, what it can prepare, what it can change and who approves the result.

Compare the complete cost

first-year cost = implementation
  + seats or model use
  + hosting and connected services
  + data preparation
  + maintenance and changes
  + time spent correcting or approving results

Provider usage is charged according to current plans and traffic. Set a budget limit, measure the real volume and decide what happens when that limit is reached. A cheaper model can handle routine work, while a more capable model remains available for cases that justify it.

The expensive part is usually the process around the model: integrations, permissions, source quality and ownership after launch. A fluent answer does not replace those decisions.

Keep integration ready for production

Before a system can act in a company process, define:

  • the source and destination for each field;
  • read and write credentials;
  • the approval point for money, contracts, customer commitments and deletion;
  • the information retained for investigating a wrong action;
  • the person who changes the process and accepts ongoing cost.

Treat incoming documents and messages as data. They can contain instructions that try to change the model's behaviour. The prompt injection guide explains the controls for connected systems.

Cases where integration can wait

Stay with a subscription when the team has not tested real tasks or when the process is too irregular to measure. Use an existing tool when its integrations and data terms cover the work. Put the process and source data in order when rules change weekly or nobody owns exceptions.

Voice calls belong with odbierze.ai. Storefront chat belongs with sprzed.ai. Routing the problem to the right product keeps the implementation scope clear.

A practical buying sequence

  1. Describe one process, its volume and the systems it touches.
  2. Decide whether a person or the system performs each step.
  3. Choose the smallest path that can deliver the required result.
  4. Test on representative data with an owner checking every exception.
  5. Expand only after the running cost and failure path are understood.

A free process scan can point to a subscription, an automation, an app or a written specification. The scan takes 30 minutes and ends with a written takeaway within two business days.

Questions buyers ask

What does an integration mean? It connects a model to company logic and data so a defined process can prepare or perform work in its systems.

When is a subscription enough? When people perform the work and the provider's environment fits the data and retention requirements.

When is an API connection enough? When one repeatable process has a clear input, output, owner and small number of connected systems.

How much does a custom app cost? Syntalith apps start from €6,000 net. The final scope depends on systems, data, permissions, interface work and ongoing ownership.

Book a free process scan | AI apps | See pricing

Free process scan

Start with a free process scan.

  • A 30-minute call with the engineer who would lead the work.
  • A review of the processes that cost you the most time and money.
  • A written summary of what to automate first and the likely cost range.

The scan chooses one process to assess, and within 2 business days you receive a recommendation, including when a simpler route is the better fit.

€0

30 minutes · written takeaway within 2 business days

Book a free process scan (30 min)

Times are shown in your own time zone. We work with clients across time zones.

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